Overview

Dataset statistics

Number of variables24
Number of observations9872
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory200.0 B

Variable types

Categorical1
Numeric23

Alerts

ExternalRiskEstimate is highly overall correlated with PercentTradesNeverDelq and 3 other fieldsHigh correlation
MSinceOldestTradeOpen is highly overall correlated with AverageMInFileHigh correlation
MSinceMostRecentTradeOpen is highly overall correlated with NumTradesOpeninLast12MHigh correlation
AverageMInFile is highly overall correlated with MSinceOldestTradeOpenHigh correlation
NumSatisfactoryTrades is highly overall correlated with NumTotalTrades and 1 other fieldsHigh correlation
NumTrades60Ever2DerogPubRec is highly overall correlated with NumTrades90Ever2DerogPubRec and 3 other fieldsHigh correlation
NumTrades90Ever2DerogPubRec is highly overall correlated with NumTrades60Ever2DerogPubRec and 1 other fieldsHigh correlation
PercentTradesNeverDelq is highly overall correlated with ExternalRiskEstimate and 4 other fieldsHigh correlation
MSinceMostRecentDelq is highly overall correlated with PercentTradesNeverDelq and 2 other fieldsHigh correlation
MaxDelq2PublicRecLast12M is highly overall correlated with ExternalRiskEstimate and 4 other fieldsHigh correlation
MaxDelqEver is highly overall correlated with ExternalRiskEstimate and 5 other fieldsHigh correlation
NumTotalTrades is highly overall correlated with NumSatisfactoryTradesHigh correlation
NumTradesOpeninLast12M is highly overall correlated with MSinceMostRecentTradeOpenHigh correlation
NumInqLast6M is highly overall correlated with NumInqLast6Mexcl7daysHigh correlation
NumInqLast6Mexcl7days is highly overall correlated with NumInqLast6MHigh correlation
NetFractionRevolvingBurden is highly overall correlated with ExternalRiskEstimate and 2 other fieldsHigh correlation
NetFractionInstallBurden is highly overall correlated with NumInstallTradesWBalanceHigh correlation
NumRevolvingTradesWBalance is highly overall correlated with NumSatisfactoryTrades and 1 other fieldsHigh correlation
NumInstallTradesWBalance is highly overall correlated with NetFractionInstallBurdenHigh correlation
NumBank2NatlTradesWHighUtilization is highly overall correlated with NetFractionRevolvingBurden and 1 other fieldsHigh correlation
PercentTradesWBalance is highly overall correlated with NetFractionRevolvingBurdenHigh correlation
MSinceMostRecentTradeOpen has 105 (1.1%) zerosZeros
NumTrades60Ever2DerogPubRec has 6802 (68.9%) zerosZeros
NumTrades90Ever2DerogPubRec has 7638 (77.4%) zerosZeros
MSinceMostRecentDelq has 102 (1.0%) zerosZeros
MaxDelq2PublicRecLast12M has 336 (3.4%) zerosZeros
NumTotalTrades has 133 (1.3%) zerosZeros
NumTradesOpeninLast12M has 2507 (25.4%) zerosZeros
PercentInstallTrades has 193 (2.0%) zerosZeros
MSinceMostRecentInqexcl7days has 4581 (46.4%) zerosZeros
NumInqLast6M has 3924 (39.7%) zerosZeros
NumInqLast6Mexcl7days has 4078 (41.3%) zerosZeros
NetFractionRevolvingBurden has 608 (6.2%) zerosZeros
NumRevolvingTradesWBalance has 304 (3.1%) zerosZeros
NumBank2NatlTradesWHighUtilization has 4307 (43.6%) zerosZeros

Reproduction

Analysis started2023-02-02 17:39:01.510488
Analysis finished2023-02-02 17:40:03.366732
Duration1 minute and 1.86 second
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

target
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size154.2 KiB
Bad
5136 
Good
4736 

Length

Max length4
Median length3
Mean length3.4797407
Min length3

Characters and Unicode

Total characters34352
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBad
2nd rowBad
3rd rowBad
4th rowBad
5th rowBad

Common Values

ValueCountFrequency (%)
Bad 5136
52.0%
Good 4736
48.0%

Length

2023-02-02T18:40:03.432689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-02-02T18:40:03.526380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
bad 5136
52.0%
good 4736
48.0%

Most occurring characters

ValueCountFrequency (%)
d 9872
28.7%
o 9472
27.6%
B 5136
15.0%
a 5136
15.0%
G 4736
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24480
71.3%
Uppercase Letter 9872
28.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 9872
40.3%
o 9472
38.7%
a 5136
21.0%
Uppercase Letter
ValueCountFrequency (%)
B 5136
52.0%
G 4736
48.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34352
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 9872
28.7%
o 9472
27.6%
B 5136
15.0%
a 5136
15.0%
G 4736
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 9872
28.7%
o 9472
27.6%
B 5136
15.0%
a 5136
15.0%
G 4736
13.8%

ExternalRiskEstimate
Real number (ℝ)

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.962723
Minimum-9
Maximum94
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)0.1%
Memory size154.2 KiB
2023-02-02T18:40:03.615953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile56
Q164
median72
Q380
95-th percentile88
Maximum94
Range103
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.262339
Coefficient of variation (CV)0.14260632
Kurtosis3.6274377
Mean71.962723
Median Absolute Deviation (MAD)8
Skewness-0.56940616
Sum710416
Variance105.3156
MonotonicityNot monotonic
2023-02-02T18:40:03.733480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 386
 
3.9%
66 376
 
3.8%
68 372
 
3.8%
73 369
 
3.7%
72 367
 
3.7%
70 350
 
3.5%
63 338
 
3.4%
75 331
 
3.4%
69 316
 
3.2%
80 302
 
3.1%
Other values (51) 6365
64.5%
ValueCountFrequency (%)
-9 12
0.1%
33 1
 
< 0.1%
34 1
 
< 0.1%
36 2
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 1
 
< 0.1%
42 2
 
< 0.1%
43 5
0.1%
ValueCountFrequency (%)
94 1
 
< 0.1%
93 16
 
0.2%
92 34
 
0.3%
91 103
1.0%
90 100
 
1.0%
89 161
1.6%
88 201
2.0%
87 190
1.9%
86 254
2.6%
85 223
2.3%

MSinceOldestTradeOpen
Real number (ℝ)

Distinct526
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.66815
Minimum-9
Maximum803
Zeros0
Zeros (%)0.0%
Negative241
Negative (%)2.4%
Memory size154.2 KiB
2023-02-02T18:40:03.855969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile41
Q1131
median183
Q3255
95-th percentile387
Maximum803
Range812
Interquartile range (IQR)124

Descriptive statistics

Standard deviation101.97151
Coefficient of variation (CV)0.52114514
Kurtosis0.52797947
Mean195.66815
Median Absolute Deviation (MAD)60
Skewness0.55580429
Sum1931636
Variance10398.188
MonotonicityNot monotonic
2023-02-02T18:40:03.975173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8 239
 
2.4%
132 67
 
0.7%
178 67
 
0.7%
176 62
 
0.6%
150 62
 
0.6%
165 61
 
0.6%
183 58
 
0.6%
158 57
 
0.6%
206 57
 
0.6%
162 57
 
0.6%
Other values (516) 9085
92.0%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 239
2.4%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
8 5
 
0.1%
9 2
 
< 0.1%
10 6
 
0.1%
ValueCountFrequency (%)
803 1
< 0.1%
789 1
< 0.1%
604 1
< 0.1%
603 1
< 0.1%
598 1
< 0.1%
590 1
< 0.1%
589 2
< 0.1%
586 1
< 0.1%
584 1
< 0.1%
566 1
< 0.1%

MSinceMostRecentTradeOpen
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5838736
Minimum-9
Maximum383
Zeros105
Zeros (%)1.1%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:04.103372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile1
Q13
median6
Q312
95-th percentile29
Maximum383
Range392
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.965164
Coefficient of variation (CV)1.3528105
Kurtosis111.40347
Mean9.5838736
Median Absolute Deviation (MAD)4
Skewness7.0862316
Sum94612
Variance168.09549
MonotonicityNot monotonic
2023-02-02T18:40:04.224554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1161
 
11.8%
3 1015
 
10.3%
4 885
 
9.0%
5 754
 
7.6%
1 733
 
7.4%
6 660
 
6.7%
7 575
 
5.8%
8 463
 
4.7%
9 414
 
4.2%
10 309
 
3.1%
Other values (102) 2903
29.4%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 105
 
1.1%
1 733
7.4%
2 1161
11.8%
3 1015
10.3%
4 885
9.0%
5 754
7.6%
6 660
6.7%
7 575
5.8%
8 463
 
4.7%
ValueCountFrequency (%)
383 1
< 0.1%
227 1
< 0.1%
207 1
< 0.1%
184 1
< 0.1%
178 1
< 0.1%
163 1
< 0.1%
159 1
< 0.1%
156 2
< 0.1%
152 1
< 0.1%
145 2
< 0.1%

AverageMInFile
Real number (ℝ)

Distinct237
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.755774
Minimum-9
Maximum383
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:04.353791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile28
Q157
median76
Q396.25
95-th percentile139
Maximum383
Range392
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation34.084198
Coefficient of variation (CV)0.43278348
Kurtosis2.6699002
Mean78.755774
Median Absolute Deviation (MAD)20
Skewness0.91727067
Sum777477
Variance1161.7326
MonotonicityNot monotonic
2023-02-02T18:40:04.475023image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 154
 
1.6%
79 154
 
1.6%
74 151
 
1.5%
68 148
 
1.5%
80 147
 
1.5%
75 145
 
1.5%
84 144
 
1.5%
70 141
 
1.4%
63 141
 
1.4%
81 140
 
1.4%
Other values (227) 8407
85.2%
ValueCountFrequency (%)
-9 2
 
< 0.1%
4 4
 
< 0.1%
5 6
 
0.1%
6 4
 
< 0.1%
7 9
0.1%
8 12
0.1%
9 15
0.2%
10 12
0.1%
11 12
0.1%
12 14
0.1%
ValueCountFrequency (%)
383 1
< 0.1%
322 1
< 0.1%
275 1
< 0.1%
273 1
< 0.1%
263 1
< 0.1%
258 1
< 0.1%
257 1
< 0.1%
256 1
< 0.1%
252 1
< 0.1%
249 1
< 0.1%

NumSatisfactoryTrades
Real number (ℝ)

Distinct74
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.115883
Minimum-9
Maximum79
Zeros4
Zeros (%)< 0.1%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:04.606158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile5
Q113
median20
Q328
95-th percentile42
Maximum79
Range88
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.32882
Coefficient of variation (CV)0.53650703
Kurtosis0.8567995
Mean21.115883
Median Absolute Deviation (MAD)7
Skewness0.79814115
Sum208456
Variance128.34216
MonotonicityNot monotonic
2023-02-02T18:40:04.721486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 386
 
3.9%
15 384
 
3.9%
16 375
 
3.8%
22 369
 
3.7%
19 366
 
3.7%
13 364
 
3.7%
14 347
 
3.5%
21 346
 
3.5%
20 343
 
3.5%
17 337
 
3.4%
Other values (64) 6255
63.4%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 4
 
< 0.1%
1 49
 
0.5%
2 92
0.9%
3 102
1.0%
4 138
1.4%
5 154
1.6%
6 186
1.9%
7 216
2.2%
8 219
2.2%
ValueCountFrequency (%)
79 1
 
< 0.1%
78 1
 
< 0.1%
75 1
 
< 0.1%
74 2
 
< 0.1%
70 2
 
< 0.1%
67 3
< 0.1%
66 2
 
< 0.1%
65 4
< 0.1%
64 6
0.1%
63 5
0.1%

NumTrades60Ever2DerogPubRec
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57931524
Minimum-9
Maximum19
Zeros6802
Zeros (%)68.9%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:04.823030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum19
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2461224
Coefficient of variation (CV)2.1510264
Kurtosis28.599127
Mean0.57931524
Median Absolute Deviation (MAD)0
Skewness4.0089208
Sum5719
Variance1.552821
MonotonicityNot monotonic
2023-02-02T18:40:04.907615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 6802
68.9%
1 1802
 
18.3%
2 691
 
7.0%
3 246
 
2.5%
4 148
 
1.5%
5 73
 
0.7%
6 37
 
0.4%
7 30
 
0.3%
8 11
 
0.1%
9 8
 
0.1%
Other values (9) 24
 
0.2%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 6802
68.9%
1 1802
 
18.3%
2 691
 
7.0%
3 246
 
2.5%
4 148
 
1.5%
5 73
 
0.7%
6 37
 
0.4%
7 30
 
0.3%
8 11
 
0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 3
 
< 0.1%
11 4
 
< 0.1%
10 8
0.1%
9 8
0.1%
8 11
0.1%

NumTrades90Ever2DerogPubRec
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38290113
Minimum-9
Maximum19
Zeros7638
Zeros (%)77.4%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:04.998705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum19
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0021067
Coefficient of variation (CV)2.6171421
Kurtosis51.041258
Mean0.38290113
Median Absolute Deviation (MAD)0
Skewness5.1495852
Sum3780
Variance1.0042178
MonotonicityNot monotonic
2023-02-02T18:40:05.080853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7638
77.4%
1 1436
 
14.5%
2 488
 
4.9%
3 129
 
1.3%
4 83
 
0.8%
5 38
 
0.4%
6 18
 
0.2%
7 16
 
0.2%
9 8
 
0.1%
10 5
 
0.1%
Other values (7) 13
 
0.1%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 7638
77.4%
1 1436
 
14.5%
2 488
 
4.9%
3 129
 
1.3%
4 83
 
0.8%
5 38
 
0.4%
6 18
 
0.2%
7 16
 
0.2%
8 3
 
< 0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
16 2
 
< 0.1%
14 1
 
< 0.1%
12 2
 
< 0.1%
11 2
 
< 0.1%
10 5
 
0.1%
9 8
0.1%
8 3
 
< 0.1%
7 16
0.2%
6 18
0.2%

PercentTradesNeverDelq
Real number (ℝ)

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.344003
Minimum-9
Maximum100
Zeros6
Zeros (%)0.1%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:05.192286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile67.55
Q189
median97
Q3100
95-th percentile100
Maximum100
Range109
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.851561
Coefficient of variation (CV)0.12834143
Kurtosis8.6640222
Mean92.344003
Median Absolute Deviation (MAD)3
Skewness-2.4996626
Sum911620
Variance140.4595
MonotonicityNot monotonic
2023-02-02T18:40:05.310959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 4607
46.7%
96 414
 
4.2%
97 389
 
3.9%
95 379
 
3.8%
94 351
 
3.6%
93 304
 
3.1%
92 292
 
3.0%
88 244
 
2.5%
90 218
 
2.2%
89 205
 
2.1%
Other values (62) 2469
25.0%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 6
0.1%
11 1
 
< 0.1%
20 4
< 0.1%
22 1
 
< 0.1%
25 6
0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
29 4
< 0.1%
30 4
< 0.1%
ValueCountFrequency (%)
100 4607
46.7%
99 6
 
0.1%
98 173
 
1.8%
97 389
 
3.9%
96 414
 
4.2%
95 379
 
3.8%
94 351
 
3.6%
93 304
 
3.1%
92 292
 
3.0%
91 188
 
1.9%

MSinceMostRecentDelq
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6985413
Minimum-9
Maximum83
Zeros102
Zeros (%)1.0%
Negative4842
Negative (%)49.0%
Memory size154.2 KiB
2023-02-02T18:40:05.533854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-7
Q1-7
median0
Q315
95-th percentile56
Maximum83
Range92
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20.72841
Coefficient of variation (CV)2.6925114
Kurtosis1.8225015
Mean7.6985413
Median Absolute Deviation (MAD)7
Skewness1.5905701
Sum76000
Variance429.66699
MonotonicityNot monotonic
2023-02-02T18:40:05.646737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7 4664
47.2%
1 307
 
3.1%
2 293
 
3.0%
3 253
 
2.6%
4 228
 
2.3%
5 178
 
1.8%
-8 176
 
1.8%
6 170
 
1.7%
8 146
 
1.5%
7 140
 
1.4%
Other values (77) 3317
33.6%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 176
 
1.8%
-7 4664
47.2%
0 102
 
1.0%
1 307
 
3.1%
2 293
 
3.0%
3 253
 
2.6%
4 228
 
2.3%
5 178
 
1.8%
6 170
 
1.7%
ValueCountFrequency (%)
83 1
 
< 0.1%
82 1
 
< 0.1%
81 14
0.1%
80 15
0.2%
79 19
0.2%
78 16
0.2%
77 14
0.1%
76 15
0.2%
75 9
0.1%
74 12
0.1%

MaxDelq2PublicRecLast12M
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7551661
Minimum-9
Maximum9
Zeros336
Zeros (%)3.4%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:05.736813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum9
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.657701
Coefficient of variation (CV)0.28803703
Kurtosis4.2567183
Mean5.7551661
Median Absolute Deviation (MAD)1
Skewness-1.8726265
Sum56815
Variance2.7479725
MonotonicityNot monotonic
2023-02-02T18:40:05.812545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 4223
42.8%
6 3127
31.7%
4 1611
 
16.3%
0 336
 
3.4%
5 236
 
2.4%
3 224
 
2.3%
1 54
 
0.5%
2 53
 
0.5%
9 6
 
0.1%
-9 2
 
< 0.1%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 336
 
3.4%
1 54
 
0.5%
2 53
 
0.5%
3 224
 
2.3%
4 1611
 
16.3%
5 236
 
2.4%
6 3127
31.7%
7 4223
42.8%
9 6
 
0.1%
ValueCountFrequency (%)
9 6
 
0.1%
7 4223
42.8%
6 3127
31.7%
5 236
 
2.4%
4 1611
 
16.3%
3 224
 
2.3%
2 53
 
0.5%
1 54
 
0.5%
0 336
 
3.4%
-9 2
 
< 0.1%

MaxDelqEver
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3715559
Minimum-9
Maximum8
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:05.892262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile2
Q16
median6
Q38
95-th percentile8
Maximum8
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.861944
Coefficient of variation (CV)0.29222752
Kurtosis0.93998359
Mean6.3715559
Median Absolute Deviation (MAD)2
Skewness-1.0712135
Sum62900
Variance3.4668355
MonotonicityNot monotonic
2023-02-02T18:40:05.966153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 4532
45.9%
6 2868
29.1%
5 967
 
9.8%
2 739
 
7.5%
4 321
 
3.3%
3 311
 
3.2%
7 132
 
1.3%
-9 2
 
< 0.1%
ValueCountFrequency (%)
-9 2
 
< 0.1%
2 739
 
7.5%
3 311
 
3.2%
4 321
 
3.3%
5 967
 
9.8%
6 2868
29.1%
7 132
 
1.3%
8 4532
45.9%
ValueCountFrequency (%)
8 4532
45.9%
7 132
 
1.3%
6 2868
29.1%
5 967
 
9.8%
4 321
 
3.3%
3 311
 
3.2%
2 739
 
7.5%
-9 2
 
< 0.1%

NumTotalTrades
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.629457
Minimum-9
Maximum104
Zeros133
Zeros (%)1.3%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:06.074197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile5
Q113
median21
Q330
95-th percentile46
Maximum104
Range113
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.00701
Coefficient of variation (CV)0.57478224
Kurtosis1.4906615
Mean22.629457
Median Absolute Deviation (MAD)8
Skewness0.93086299
Sum223398
Variance169.18231
MonotonicityNot monotonic
2023-02-02T18:40:06.189357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 358
 
3.6%
16 354
 
3.6%
17 350
 
3.5%
22 334
 
3.4%
20 330
 
3.3%
24 327
 
3.3%
21 321
 
3.3%
18 312
 
3.2%
13 312
 
3.2%
23 311
 
3.2%
Other values (78) 6563
66.5%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 133
1.3%
1 45
 
0.5%
2 76
 
0.8%
3 115
1.2%
4 119
1.2%
5 132
1.3%
6 147
1.5%
7 190
1.9%
8 186
1.9%
ValueCountFrequency (%)
104 1
 
< 0.1%
100 1
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
84 1
 
< 0.1%
83 3
< 0.1%
82 2
< 0.1%
79 2
< 0.1%
78 2
< 0.1%

NumTradesOpeninLast12M
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8618314
Minimum-9
Maximum19
Zeros2507
Zeros (%)25.4%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:06.290254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum19
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8344385
Coefficient of variation (CV)0.98528707
Kurtosis4.4221107
Mean1.8618314
Median Absolute Deviation (MAD)1
Skewness1.4884793
Sum18380
Variance3.3651644
MonotonicityNot monotonic
2023-02-02T18:40:06.375828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 2528
25.6%
0 2507
25.4%
2 1969
19.9%
3 1302
13.2%
4 744
 
7.5%
5 365
 
3.7%
6 229
 
2.3%
7 108
 
1.1%
8 56
 
0.6%
9 25
 
0.3%
Other values (9) 39
 
0.4%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 2507
25.4%
1 2528
25.6%
2 1969
19.9%
3 1302
13.2%
4 744
 
7.5%
5 365
 
3.7%
6 229
 
2.3%
7 108
 
1.1%
8 56
 
0.6%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 4
 
< 0.1%
11 8
 
0.1%
10 18
 
0.2%
9 25
0.3%
8 56
0.6%

PercentInstallTrades
Real number (ℝ)

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.605855
Minimum-9
Maximum100
Zeros193
Zeros (%)2.0%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:06.489441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile9
Q121
median33
Q345
95-th percentile67
Maximum100
Range109
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.958877
Coefficient of variation (CV)0.51895487
Kurtosis0.7135414
Mean34.605855
Median Absolute Deviation (MAD)12
Skewness0.67956115
Sum341629
Variance322.52126
MonotonicityNot monotonic
2023-02-02T18:40:06.608524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 449
 
4.5%
50 417
 
4.2%
29 334
 
3.4%
25 321
 
3.3%
38 274
 
2.8%
20 273
 
2.8%
36 247
 
2.5%
40 242
 
2.5%
27 226
 
2.3%
17 225
 
2.3%
Other values (86) 6864
69.5%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 193
2.0%
2 1
 
< 0.1%
3 12
 
0.1%
4 29
 
0.3%
5 31
 
0.3%
6 36
 
0.4%
7 57
 
0.6%
8 77
 
0.8%
9 83
0.8%
ValueCountFrequency (%)
100 76
0.8%
94 1
 
< 0.1%
93 1
 
< 0.1%
92 2
 
< 0.1%
91 3
 
< 0.1%
90 5
 
0.1%
89 4
 
< 0.1%
88 5
 
0.1%
87 3
 
< 0.1%
86 12
 
0.1%
Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18952593
Minimum-9
Maximum24
Zeros4581
Zeros (%)46.4%
Negative2333
Negative (%)23.6%
Memory size154.2 KiB
2023-02-02T18:40:06.714749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-7
Q10
median0
Q31
95-th percentile12
Maximum24
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.8542421
Coefficient of variation (CV)30.888871
Kurtosis2.4540916
Mean0.18952593
Median Absolute Deviation (MAD)1
Skewness1.143224
Sum1871
Variance34.27215
MonotonicityNot monotonic
2023-02-02T18:40:06.809844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 4581
46.4%
-7 1855
18.8%
1 614
 
6.2%
-8 476
 
4.8%
2 378
 
3.8%
3 309
 
3.1%
4 268
 
2.7%
5 191
 
1.9%
6 150
 
1.5%
7 139
 
1.4%
Other values (18) 911
 
9.2%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 476
 
4.8%
-7 1855
18.8%
0 4581
46.4%
1 614
 
6.2%
2 378
 
3.8%
3 309
 
3.1%
4 268
 
2.7%
5 191
 
1.9%
6 150
 
1.5%
ValueCountFrequency (%)
24 8
 
0.1%
23 32
0.3%
22 35
0.4%
21 32
0.3%
20 31
0.3%
19 45
0.5%
18 34
0.3%
17 42
0.4%
16 49
0.5%
15 45
0.5%

NumInqLast6M
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4536062
Minimum-9
Maximum66
Zeros3924
Zeros (%)39.7%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:06.911660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum66
Range75
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1410772
Coefficient of variation (CV)1.4729417
Kurtosis115.17976
Mean1.4536062
Median Absolute Deviation (MAD)1
Skewness6.0924807
Sum14350
Variance4.5842115
MonotonicityNot monotonic
2023-02-02T18:40:07.005634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 3924
39.7%
1 2545
25.8%
2 1510
 
15.3%
3 761
 
7.7%
4 489
 
5.0%
5 242
 
2.5%
6 140
 
1.4%
7 81
 
0.8%
8 61
 
0.6%
9 32
 
0.3%
Other values (17) 87
 
0.9%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 3924
39.7%
1 2545
25.8%
2 1510
 
15.3%
3 761
 
7.7%
4 489
 
5.0%
5 242
 
2.5%
6 140
 
1.4%
7 81
 
0.8%
8 61
 
0.6%
ValueCountFrequency (%)
66 1
 
< 0.1%
46 1
 
< 0.1%
29 1
 
< 0.1%
24 2
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 3
< 0.1%
18 1
 
< 0.1%
17 3
< 0.1%
16 4
< 0.1%

NumInqLast6Mexcl7days
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3947528
Minimum-9
Maximum66
Zeros4078
Zeros (%)41.3%
Negative2
Negative (%)< 0.1%
Memory size154.2 KiB
2023-02-02T18:40:07.108130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum66
Range75
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1010499
Coefficient of variation (CV)1.5063959
Kurtosis124.21695
Mean1.3947528
Median Absolute Deviation (MAD)1
Skewness6.3490323
Sum13769
Variance4.4144107
MonotonicityNot monotonic
2023-02-02T18:40:07.200451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 4078
41.3%
1 2529
25.6%
2 1450
 
14.7%
3 759
 
7.7%
4 453
 
4.6%
5 232
 
2.4%
6 132
 
1.3%
7 71
 
0.7%
8 59
 
0.6%
9 28
 
0.3%
Other values (17) 81
 
0.8%
ValueCountFrequency (%)
-9 2
 
< 0.1%
0 4078
41.3%
1 2529
25.6%
2 1450
 
14.7%
3 759
 
7.7%
4 453
 
4.6%
5 232
 
2.4%
6 132
 
1.3%
7 71
 
0.7%
8 59
 
0.6%
ValueCountFrequency (%)
66 1
 
< 0.1%
46 1
 
< 0.1%
29 1
 
< 0.1%
24 2
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 2
< 0.1%
18 2
< 0.1%
17 1
 
< 0.1%
16 4
< 0.1%

NetFractionRevolvingBurden
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct128
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.042139
Minimum-9
Maximum232
Zeros608
Zeros (%)6.2%
Negative188
Negative (%)1.9%
Memory size154.2 KiB
2023-02-02T18:40:07.314903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q18
median28
Q356
95-th percentile89
Maximum232
Range241
Interquartile range (IQR)48

Descriptive statistics

Standard deviation29.215152
Coefficient of variation (CV)0.85820553
Kurtosis-0.47694712
Mean34.042139
Median Absolute Deviation (MAD)23
Skewness0.61635061
Sum336064
Variance853.52512
MonotonicityNot monotonic
2023-02-02T18:40:07.431460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 608
 
6.2%
1 303
 
3.1%
2 274
 
2.8%
3 259
 
2.6%
4 225
 
2.3%
5 208
 
2.1%
6 198
 
2.0%
-8 186
 
1.9%
8 166
 
1.7%
9 151
 
1.5%
Other values (118) 7294
73.9%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 186
 
1.9%
0 608
6.2%
1 303
3.1%
2 274
2.8%
3 259
2.6%
4 225
 
2.3%
5 208
 
2.1%
6 198
 
2.0%
7 150
 
1.5%
ValueCountFrequency (%)
232 1
< 0.1%
165 1
< 0.1%
154 1
< 0.1%
135 1
< 0.1%
131 1
< 0.1%
126 1
< 0.1%
124 1
< 0.1%
120 2
< 0.1%
118 2
< 0.1%
117 1
< 0.1%

NetFractionInstallBurden
Real number (ℝ)

Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.022387
Minimum-9
Maximum471
Zeros10
Zeros (%)0.1%
Negative3420
Negative (%)34.6%
Memory size154.2 KiB
2023-02-02T18:40:07.547786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-8
Q1-8
median52
Q380
95-th percentile97
Maximum471
Range480
Interquartile range (IQR)88

Descriptive statistics

Standard deviation41.615398
Coefficient of variation (CV)0.99031496
Kurtosis-0.45851141
Mean42.022387
Median Absolute Deviation (MAD)38
Skewness0.017059344
Sum414845
Variance1731.8414
MonotonicityNot monotonic
2023-02-02T18:40:07.664789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8 3418
34.6%
100 174
 
1.8%
92 144
 
1.5%
83 134
 
1.4%
77 133
 
1.3%
87 130
 
1.3%
75 128
 
1.3%
95 126
 
1.3%
89 125
 
1.3%
90 124
 
1.3%
Other values (129) 5236
53.0%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 3418
34.6%
0 10
 
0.1%
1 4
 
< 0.1%
2 15
 
0.2%
3 21
 
0.2%
4 11
 
0.1%
5 17
 
0.2%
6 24
 
0.2%
7 5
 
0.1%
ValueCountFrequency (%)
471 1
< 0.1%
196 1
< 0.1%
190 1
< 0.1%
165 1
< 0.1%
153 1
< 0.1%
152 1
< 0.1%
151 1
< 0.1%
144 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%

NumRevolvingTradesWBalance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9084279
Minimum-9
Maximum32
Zeros304
Zeros (%)3.1%
Negative158
Negative (%)1.6%
Memory size154.2 KiB
2023-02-02T18:40:07.774227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum32
Range41
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3610186
Coefficient of variation (CV)0.85994131
Kurtosis5.1292232
Mean3.9084279
Median Absolute Deviation (MAD)2
Skewness0.63335263
Sum38584
Variance11.296446
MonotonicityNot monotonic
2023-02-02T18:40:07.871659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2 1707
17.3%
3 1608
16.3%
4 1361
13.8%
1 1331
13.5%
5 1010
10.2%
6 744
7.5%
7 507
 
5.1%
8 350
 
3.5%
0 304
 
3.1%
9 242
 
2.5%
Other values (21) 708
7.2%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 156
 
1.6%
0 304
 
3.1%
1 1331
13.5%
2 1707
17.3%
3 1608
16.3%
4 1361
13.8%
5 1010
10.2%
6 744
7.5%
7 507
 
5.1%
ValueCountFrequency (%)
32 1
 
< 0.1%
29 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 3
< 0.1%
23 1
 
< 0.1%
21 5
0.1%
20 4
< 0.1%
19 4
< 0.1%

NumInstallTradesWBalance
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5680713
Minimum-9
Maximum23
Zeros0
Zeros (%)0.0%
Negative863
Negative (%)8.7%
Memory size154.2 KiB
2023-02-02T18:40:07.964850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-8
Q11
median2
Q33
95-th percentile5
Maximum23
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.3486231
Coefficient of variation (CV)2.1355044
Kurtosis4.0120027
Mean1.5680713
Median Absolute Deviation (MAD)1
Skewness-1.582995
Sum15480
Variance11.213277
MonotonicityNot monotonic
2023-02-02T18:40:08.051215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 2863
29.0%
1 2648
26.8%
3 1808
18.3%
4 922
 
9.3%
-8 861
 
8.7%
5 352
 
3.6%
6 186
 
1.9%
7 86
 
0.9%
8 49
 
0.5%
9 36
 
0.4%
Other values (10) 61
 
0.6%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 861
 
8.7%
1 2648
26.8%
2 2863
29.0%
3 1808
18.3%
4 922
 
9.3%
5 352
 
3.6%
6 186
 
1.9%
7 86
 
0.9%
8 49
 
0.5%
ValueCountFrequency (%)
23 1
 
< 0.1%
19 2
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 6
 
0.1%
13 5
 
0.1%
12 10
 
0.1%
11 15
0.2%
10 18
0.2%
9 36
0.4%

NumBank2NatlTradesWHighUtilization
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55338331
Minimum-9
Maximum18
Zeros4307
Zeros (%)43.6%
Negative585
Negative (%)5.9%
Memory size154.2 KiB
2023-02-02T18:40:08.143409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-8
Q10
median1
Q31
95-th percentile4
Maximum18
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6140264
Coefficient of variation (CV)4.7237175
Kurtosis5.8625068
Mean0.55338331
Median Absolute Deviation (MAD)1
Skewness-1.3806378
Sum5463
Variance6.8331341
MonotonicityNot monotonic
2023-02-02T18:40:08.340736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 4307
43.6%
1 2514
25.5%
2 1222
 
12.4%
3 620
 
6.3%
-8 583
 
5.9%
4 280
 
2.8%
5 154
 
1.6%
6 81
 
0.8%
7 38
 
0.4%
8 30
 
0.3%
Other values (9) 43
 
0.4%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 583
 
5.9%
0 4307
43.6%
1 2514
25.5%
2 1222
 
12.4%
3 620
 
6.3%
4 280
 
2.8%
5 154
 
1.6%
6 81
 
0.8%
7 38
 
0.4%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
13 3
 
< 0.1%
12 4
 
< 0.1%
11 10
 
0.1%
10 10
 
0.1%
9 11
 
0.1%
8 30
0.3%
7 38
0.4%

PercentTradesWBalance
Real number (ℝ)

Distinct95
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.294571
Minimum-9
Maximum100
Zeros45
Zeros (%)0.5%
Negative20
Negative (%)0.2%
Memory size154.2 KiB
2023-02-02T18:40:08.450186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile29
Q150
median67
Q383
95-th percentile100
Maximum100
Range109
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.265433
Coefficient of variation (CV)0.33585606
Kurtosis-0.38744383
Mean66.294571
Median Absolute Deviation (MAD)17
Skewness-0.31604566
Sum654460
Variance495.74951
MonotonicityNot monotonic
2023-02-02T18:40:08.571340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1276
 
12.9%
50 733
 
7.4%
67 611
 
6.2%
75 535
 
5.4%
80 374
 
3.8%
60 342
 
3.5%
83 316
 
3.2%
71 281
 
2.8%
33 273
 
2.8%
57 245
 
2.5%
Other values (85) 4886
49.5%
ValueCountFrequency (%)
-9 2
 
< 0.1%
-8 18
 
0.2%
0 45
0.5%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 6
 
0.1%
11 8
 
0.1%
ValueCountFrequency (%)
100 1276
12.9%
96 3
 
< 0.1%
95 13
 
0.1%
94 28
 
0.3%
93 37
 
0.4%
92 82
 
0.8%
91 82
 
0.8%
90 93
 
0.9%
89 138
 
1.4%
88 176
 
1.8%

Interactions

2023-02-02T18:40:00.229484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.203973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.542394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.504907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.243408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.994766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.266340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.849831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.236472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.693185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.876067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.571021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.401197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.817319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.236835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.721801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.249490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.811084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.590298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.251254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.735032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.181532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.740752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.326748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.290214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.638497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.606297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.353536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.099878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.360988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.954592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.424718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.917852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.969503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.666992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.501213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.915914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.376148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.815801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.352653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.918158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.689639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.356008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.828731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.283242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.841036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.437019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.389841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.748687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.721094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.474138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.208261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.499580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.069537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.585393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:24.169245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.084498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.785588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.623371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.133861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.487583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.928767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.482456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.037247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.809813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.472486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.946155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.397936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.959688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.554815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.490311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.863223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.833789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.645925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.312842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.623580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.193109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.768159image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:24.418806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.212603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.940674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.744737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.250931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.597974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.039636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.607473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.162736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.049567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.590002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.055174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.515631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.074835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.669811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.601214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.976887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.945456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.756655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.418758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.731736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.316379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.929067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:24.668493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.336131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.101306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.867133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.365226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.709685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.147159image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.739674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.280395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.224233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.707479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.166626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.632926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.194575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.773018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.689831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.072395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.044200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.886986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.509802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.823963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.412477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.041304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:24.805079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.430458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.247472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.963008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.462872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.804758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.237824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.845231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.493804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.325822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.826246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.265747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.732426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.291972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.881551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.787832image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.181865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.144399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.042909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.607362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.925053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.518211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.165781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:24.932659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.536961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.377181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.074414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.567905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.913270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.437866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.951831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.611836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.436242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.926942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.374678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.838367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.401915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.004716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.881454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.289178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.255408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.160577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.705379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.037325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.618042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.289790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.064893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.658915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.493778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.182619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.674829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.019225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.537813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.056219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.734273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.549612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.024443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.485068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.949532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.507871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.100840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:02.972116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.391902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.373755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.262381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.802169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.155662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.715776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.420040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.172036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.772101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.609951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.284174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.779856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.122589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.631918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.157995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.848567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.652163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.120680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.588518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.054154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.615687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.195457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.059614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.504085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.524983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.355342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.890711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.263059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.808114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.574736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.416448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.866550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.719393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.380013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.881737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.217593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.722054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.252697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:45.958245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.753826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.210994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.689462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.155965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.716573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.346911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.156941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.739720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.657329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.456739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:13.989047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.376894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:18.915608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.729572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.539451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:27.970550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.830655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.486389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:35.989787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.326201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.825759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.359599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.075894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.865075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.416442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.796452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.260919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.825926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.465131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.272542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.860374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.784702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.561776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.094167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.477135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.016026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.857661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.661884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.084412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:30.967465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.591367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.094024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.428395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:40.943126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.460698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.190563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:48.980680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.516727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:53.906726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.369097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:58.937243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.570387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.359124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:05.974424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:08.902066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.777866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.190686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.575234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.119574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:21.973686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.788817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.194331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.103984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.690150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.186363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.526599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.053272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.556666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.302807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.083647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.613511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.008343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.471873image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.043958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.695438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.458670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.085402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.021156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:11.898476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.290719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.674776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.220658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.095217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:25.904663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.310443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.245452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.794684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.282692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.632064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.157492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.662184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.422707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.192984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.714190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.118908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.579962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.153281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.802735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.548225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.200992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.151040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.009731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.386463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.885589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.324773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.198087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.007076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.418931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.360360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:33.894846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.374894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.741972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.253373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.762784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.534438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.294319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.812270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.225777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.682265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.261550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:01.908515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.648341image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.320602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.288561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.116679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.493057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:16.988633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.428784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.305126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.112525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.543378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.489359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.003268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.475672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.859404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.355915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:43.886931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.669315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.407980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:51.918616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.339850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:56.794950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.373598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.013685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.746934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.561386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.419955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.221447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.593145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.099844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.532121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.536787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.215148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.665204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.630990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.111531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.575037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:38.977247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.475623image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.017243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.794587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.520860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.044659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.463136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.013648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.491972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.118602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.849664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.682641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.549188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.336934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.697391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.228714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.635866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.710186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.317118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.791136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.761345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.218829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.676176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.090959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.606042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.158078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:46.914697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.630480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.159524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.570044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.126430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.605165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.213024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:03.944796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:06.809283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.667892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.442061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.789328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.327307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.730362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:22.931862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.406124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:28.895030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.866665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.316776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.766488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.191303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.707994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.269213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.024933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.730510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.256786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.681077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.225014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.707335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.305187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.067557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.043710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.771348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.543180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.879682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.425336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.832135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.066551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.497435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.000928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:31.968431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.412866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.858624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.307897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.813570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.373355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.130520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.828415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.347544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.775635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.324160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.806558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.504024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.177736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.188877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:09.894655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.651639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:14.978122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.523043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:19.927483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.183303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.589150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.114213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.069507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.510802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:36.948459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.416987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:41.910150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.475091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.230829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:49.930398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.442377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.874434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.422602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:59.909427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.600092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.344670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.294666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.006351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.757383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.076318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.628092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.025065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.324816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.687962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.362568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.179581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.615178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.048564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.527733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.028548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.581822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.346321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.037743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.537319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:54.980147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.532164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.021311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:02.702787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:04.446707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:07.404553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:10.130176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:12.864902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:15.169561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:17.736839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:20.126775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:23.449336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:26.782108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:29.468375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:32.291141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:34.718014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:37.142406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:39.631230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:42.143189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:44.696783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:47.466934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:50.143814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:52.641037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:55.081217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:39:57.634871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-02T18:40:00.125913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-02-02T18:40:08.695669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever2DerogPubRecNumTrades90Ever2DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq2PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank2NatlTradesWHighUtilizationPercentTradesWBalancetarget
ExternalRiskEstimate1.0000.2400.1310.3290.022-0.482-0.4160.584-0.3510.6170.530-0.023-0.182-0.1590.053-0.227-0.228-0.597-0.188-0.329-0.221-0.457-0.4460.453
MSinceOldestTradeOpen0.2401.0000.0860.6910.279-0.030-0.0480.0010.034-0.019-0.0200.337-0.108-0.1580.068-0.101-0.099-0.121-0.1050.140-0.0370.022-0.2100.208
MSinceMostRecentTradeOpen0.1310.0861.0000.292-0.2310.0240.014-0.053-0.025-0.008-0.003-0.227-0.754-0.005-0.053-0.333-0.340-0.075-0.280-0.226-0.245-0.1340.0110.035
AverageMInFile0.3290.6910.2921.0000.1720.014-0.011-0.0430.040-0.028-0.0460.141-0.368-0.1710.009-0.198-0.195-0.181-0.2310.018-0.183-0.064-0.2080.252
NumSatisfactoryTrades0.0220.279-0.2310.1721.000-0.138-0.1360.1280.030-0.0340.0120.8590.305-0.1140.1130.1130.1170.0150.1730.5010.3830.283-0.2440.158
NumTrades60Ever2DerogPubRec-0.482-0.0300.0240.014-0.1381.0000.832-0.5710.430-0.537-0.683-0.051-0.0380.124-0.0440.0490.0490.1040.018-0.0380.027-0.0180.1390.100
NumTrades90Ever2DerogPubRec-0.416-0.0480.014-0.011-0.1360.8321.000-0.4050.308-0.423-0.517-0.064-0.0280.109-0.0480.0550.0560.0750.012-0.0560.008-0.0380.1220.066
PercentTradesNeverDelq0.5840.001-0.053-0.0430.128-0.571-0.4051.000-0.7480.8300.9020.0520.075-0.1300.044-0.022-0.022-0.177-0.027-0.013-0.047-0.055-0.1720.254
MSinceMostRecentDelq-0.3510.034-0.0250.0400.0300.4300.308-0.7481.000-0.624-0.8010.0620.0190.0830.0020.0440.0450.1170.0450.0580.0770.0610.0820.252
MaxDelq2PublicRecLast12M0.617-0.019-0.008-0.028-0.034-0.537-0.4230.830-0.6241.0000.823-0.0760.006-0.1140.022-0.047-0.051-0.178-0.069-0.115-0.122-0.104-0.1410.238
MaxDelqEver0.530-0.020-0.003-0.0460.012-0.683-0.5170.902-0.8010.8231.000-0.0510.014-0.1170.029-0.041-0.042-0.147-0.048-0.053-0.089-0.058-0.1230.234
NumTotalTrades-0.0230.337-0.2270.1410.859-0.051-0.0640.0520.062-0.076-0.0511.0000.281-0.0630.0940.1170.1230.0270.1600.4310.3450.247-0.1930.108
NumTradesOpeninLast12M-0.182-0.108-0.754-0.3680.305-0.038-0.0280.0750.0190.0060.0140.2811.0000.0070.0630.3030.3050.1030.3230.2850.3050.166-0.0020.072
PercentInstallTrades-0.159-0.158-0.005-0.171-0.1140.1240.109-0.1300.083-0.114-0.117-0.0630.0071.000-0.0100.0390.0380.0830.303-0.2750.434-0.1220.4010.152
MSinceMostRecentInqexcl7days0.0530.068-0.0530.0090.113-0.044-0.0480.0440.0020.0220.0290.0940.063-0.0101.000-0.033-0.030-0.0470.0290.0220.043-0.006-0.0700.206
NumInqLast6M-0.227-0.101-0.333-0.1980.1130.0490.055-0.0220.044-0.047-0.0410.1170.3030.039-0.0331.0000.9820.0980.1230.1070.1260.1160.0460.080
NumInqLast6Mexcl7days-0.228-0.099-0.340-0.1950.1170.0490.056-0.0220.045-0.051-0.0420.1230.3050.038-0.0300.9821.0000.0990.1210.1120.1270.1190.0460.076
NetFractionRevolvingBurden-0.597-0.121-0.075-0.1810.0150.1040.075-0.1770.117-0.178-0.1470.0270.1030.083-0.0470.0980.0991.0000.1510.4430.1730.6770.5480.334
NetFractionInstallBurden-0.188-0.105-0.280-0.2310.1730.0180.012-0.0270.045-0.069-0.0480.1600.3230.3030.0290.1230.1210.1511.0000.1220.5850.1110.2100.089
NumRevolvingTradesWBalance-0.3290.140-0.2260.0180.501-0.038-0.056-0.0130.058-0.115-0.0530.4310.285-0.2750.0220.1070.1120.4430.1221.0000.1950.5980.2430.152
NumInstallTradesWBalance-0.221-0.037-0.245-0.1830.3830.0270.008-0.0470.077-0.122-0.0890.3450.3050.4340.0430.1260.1270.1730.5850.1951.0000.1710.2590.063
NumBank2NatlTradesWHighUtilization-0.4570.022-0.134-0.0640.283-0.018-0.038-0.0550.061-0.104-0.0580.2470.166-0.122-0.0060.1160.1190.6770.1110.5980.1711.0000.2540.238
PercentTradesWBalance-0.446-0.2100.011-0.208-0.2440.1390.122-0.1720.082-0.141-0.123-0.193-0.0020.401-0.0700.0460.0460.5480.2100.2430.2590.2541.0000.282
target0.4530.2080.0350.2520.1580.1000.0660.2540.2520.2380.2340.1080.0720.1520.2060.0800.0760.3340.0890.1520.0630.2380.2821.000

Missing values

2023-02-02T18:40:02.873617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-02-02T18:40:03.213446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

targetExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever2DerogPubRecNumTrades90Ever2DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq2PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank2NatlTradesWHighUtilizationPercentTradesWBalance
0Bad551444842030832352314300033-881169
1Bad61581541244100-70870670000-80-8-80
2Bad6766524900100-7789444044536642186
3Bad66169173281193766630357054728364391
4Bad81333271321200100-77812025011518931080
5Bad591371178310091146321470006293124394
6Good5488737250092946263580448976772100
7Good68148765170083316618144000284822240
8Bad5932421382400855462712601168-871390
9Bad617943619009554619326066318653162
targetExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever2DerogPubRecNumTrades90Ever2DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq2PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank2NatlTradesWHighUtilizationPercentTradesWBalance
10449Good57176487180089246181564119372531100
10450Good8431361032500100-778252241100109243070
10451Good791332682700100-7783033604419342060
10452Good901975921300100-77813146422550330100
10453Bad7541021213711831043431711134-871153
10454Good7313155721009580662151970026-8520100
10455Bad651473968110092286612042111865322180
10456Bad741296641811100-768181333446-85-8056
10457Bad722341211342229635624502060019-841038
10458Bad6628117400100-778526033267-8210100